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Guest Editorial:Advanced Deep Learning Techniques for COVID-19
IEEE Transactions on Industrial Informatics ( IF 12.3 ) Pub Date : 2021-03-22 , DOI: 10.1109/tii.2021.3067670
Victor Chang , Mohamed Abdel-Basset , Rahat Iqbal , Gary Wills

The recent diagnosis of COVID-19 is based on real-time reverse-transcriptase polymerase chain reaction (RT-PCR) and is regarded as the gold standard for confirmation of infection. It has already been widely recognized that deep learning techniques can potentially have a substantial role in streamlining and accelerating the diagnosis of COVID-19 patients. Numerous open dataset enterprises have been set up over the past weeks to help the researchers develop and check methods that could contribute to countering the Corona pandemic. In order to report the above unique problems in the diagnosis of COVID-19, pioneering techniques should be developed. This special issue focuses on novel deep learning imaging analysis techniques related to COVID-19.

中文翻译:

客座社论:针对 COVID-19 的高级深度学习技术

最近对 COVID-19 的诊断基于实时逆转录聚合酶链反应 (RT-PCR),被视为确认感染的金标准。人们已经广泛认识到,深度学习技术可能在简化和加速 COVID-19 患者的诊断方面发挥重要作用。在过去的几周里,已经建立了许多开放数据集企业,以帮助研究人员开发和检查可能有助于应对电晕大流行的方法。为了报告上述 COVID-19 诊断中的独特问题,应开发开创性技术。本期特刊重点介绍与 COVID-19 相关的新型深度学习成像分析技术。
更新日期:2021-03-22
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